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» Automatic Tuning of PDGEMM Towards Optimal Performance
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IPPS
2007
IEEE
14 years 1 months ago
Experience of Optimizing FFT on Intel Architectures
Automatic library generators, such as ATLAS [11], Spiral [8] and FFTW [2], are promising technologies to generate efficient code for different computer architectures. The library...
Daniel Orozco, Liping Xue, Murat Bolat, Xiaoming L...
SSPR
2010
Springer
13 years 6 months ago
A Psychophysical Evaluation of Texture Degradation Descriptors
Delivering digitally a realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means ...
Jirí Filip, Pavel Vácha, Michal Hain...
EDBT
2010
ACM
122views Database» more  EDBT 2010»
14 years 2 months ago
Self-selecting, self-tuning, incrementally optimized indexes
: © Self-selecting, self-tuning, incrementally optimized indexes Goetz Graefe, Harumi Kuno HP Laboratories HPL-2010-24 database index, adaptive, autonomic, query execution In a re...
Goetz Graefe, Harumi A. Kuno
PLDI
2003
ACM
14 years 27 days ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
GECCO
1999
Springer
13 years 12 months ago
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scot...